Maximilian D.

I am a highly skilled AI Engineer with a strong foundation in machine learning, deep learning, and MLOps and 7+ years of experience. With extensive experience in building, training, and deploying AI models, I pride myself on writing clean, efficient code and architecting scalable AI systems. I am an effective problem solver, always focused on delivering impactful solutions tailored to business needs. My passion for AI and continuous learning reflects in the quality and innovation of my work. Skills Breakdown: -Machine Learning & Deep Learning: With 7+ years of experience, I am proficient in building and fine-tuning ML and DL models using TensorFlow, PyTorch, and scikit-learn. My expertise spans supervised learning, unsupervised learning, and reinforcement learning, with a focus on optimizing model performance and interpretability. -Natural Language Processing (NLP): I specialize in NLP techniques, including text classification, named entity recognition (NER), sentiment analysis, and language model fine-tuning. I have hands-on experience with frameworks like Transformers (Hugging Face) and language models like GPT and BERT. -Computer Vision: I have worked extensively with image recognition, object detection (YOLO, SSD), and image segmentation tasks. Libraries such as OpenCV and TensorFlow Object Detection API are part of my toolkit. -MLOps & Deployment: I am proficient in deploying AI models using Docker, Kubernetes, and CI/CD pipelines. I excel in managing end-to-end machine learning workflows and monitoring models in production environments with tools like Prometheus and Grafana. -Data Engineering: Skilled in data preprocessing, ETL pipelines, and database management, I am proficient with tools like Apache Spark, SQL, and Pandas to handle large datasets effectively. -Programming Languages: I am highly proficient in Python, with experience in SQL and C++ for performance-critical tasks.